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Computational models of the emergence of self-exploration in 2-month-old infants

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00389928" target="_blank" >RIV/68407700:21230/25:00389928 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/ICDL63968.2025.11204351" target="_blank" >https://doi.org/10.1109/ICDL63968.2025.11204351</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICDL63968.2025.11204351" target="_blank" >10.1109/ICDL63968.2025.11204351</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Computational models of the emergence of self-exploration in 2-month-old infants

  • Original language description

    Infants actively explore the relationship between actions and their associated effects (i.e., sensorimotor contingencies) before full-blown agency emerges. While there is experimental evidence for this development during the first year of life, the interplay of the associated cognitive processes is not yet well understood. This paper uses computational modeling to examine how exploratory behavior develops, based on one of the earliest experiments showing such behavior. In a seminal study of Rochat & Striano (1999), 2-month-old infants, contrary to newborns, showed differential behavioral patterns towards mouth-contingent sounds versus random sounds. This is interpreted as early evidence for action-effect exploration. We consider seven potential developmental factors as possibly explaining the emergence of active exploratory behavior in 2-month-olds: i) outcome prediction, ii) novelty preference, iii) fatigue, iv) strength, v) memory, vi) sensory noise, and vii) motor noise. These factors were implemented in both a supervised-learning model and a reinforcement learning model. Results from both models indicate that increased memory capacity with age is a key developmental factor underlying active exploration and, possibly, agency. Our code is published at: https://github.com/SpisakJ/Computational-models-of-the-emergence-of-self-exploration-in-2-month-old-infants.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2025 IEEE International Conference on Development and Learning (ICDL)

  • ISBN

    979-8-3315-4343-3

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

  • Publisher name

    IEEE Conference Publications

  • Place of publication

    Piscataway

  • Event location

    Praha

  • Event date

    Sep 16, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article